A. F. Cheshkova1, I. G. Grebennikova1, A. F. Aleynikov1, D. I. Chanyshev1
1Siberian Federal Research Center of Agricultural Biotechnology, Russian Academy of Sciencespos. Krasnoobsk, Novosibirskii r-n, Novosibirskaya obl., 630501, Russian Federation
2Novosibirsk State Technical University, prosp. Karla Marksa, 20, Novosibirsk, 630092, Russian Federation
Abstract. The software has been developed to assess the stability parameters of crop varieties. It is a package of functions of R software environment that implements 12 popular methods for determining the degree of “genotype-environment” interaction. It opens up possibilities for calculating the following genotype stability indicators: environmental variance, superiority measure, ecovalence, regression on the environment index, homeostatic coefficient, weighted homeostatic index, stability index stability, multiplicative coefficient, specific adaptability, non-parametric stability estimates. The software was tested based on the data from the field experiment conducted in 2017–2019. The research material was three varieties of spring common wheat (Novosibirskaya 15, Novosibirskaya 31, and Sibirskaya 12) and three forms of spring hexaploid triticale (k-3992, Ukro variety, and Sirs 57 x Ukro hybrid). The trait “number of grains in an ear” was chosen as an indicator of the productivity of a variety for assessing stability parameters. Variance analysis revealed the significance of the “genotype-environment” interaction (p is less than 0.001) that indicated a significant difference between the response of genotypes to changing environmental conditions. According to the results of the assessment using the developed software, based on the static concept, k-3992 genotype was the most stable in the experiment, whereas Sibirskaya 12 variety was the best in terms of the dynamic concept. Sirs 57 x Ukro hybrid turned to be the least stable genotype. The developed software allowed determining the stability of crop varieties by various methods and, based on an analysis of stability parameters, provided opportunities for selecting the varieties combining high productivity with resistance to adverse environmental factors.
Keywords: software; R; stability; “genotype-environment” interaction; plant breeding; statistical methods.
Author Details: A. F. Cheshkova, Сand. Sc. (Phys.-math.), leading research fellow (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.); I. G. Grebennikova, Сand. Sc. (Agr.), leading research fellow; A. F. Aleynikov, D. Sc. (Tech.), prof., chief research fellow; D. I. Chanyshev, research fellow.
For citation: Cheshkova AF, Grebennikova IG, Aleynikov AF et al. [Implementation of methods for assessing the stability of crop varieties in the package of agrostab functions of R software environment]. Dostizheniya nauki i tekhniki APK. 2020;34(7):91-6. Russian. doi: 10.24411/0235-2451-2020-10716.